Detecting Image Forgeries using Geometric Cues

TL;DR

This paper reviews methods for detecting image forgeries, focusing on geometric-based techniques, and discusses current state-of-the-art approaches within this category.

Contribution

It provides a detailed categorization and analysis of geometric-based forgery detection methods, highlighting recent advancements.

Findings

Geometric cues are effective for identifying manipulated regions.

Multiple categories of blind detection techniques exist, including geometric-based methods.

State-of-the-art geometric techniques offer promising results in forgery detection.

Abstract

This chapter presents a framework for detecting fake regions by using various methods including watermarking technique and blind approaches. In particular, we describe current categories on blind approaches which can be divided into five: pixel-based techniques, format-based techniques, camera-based techniques, physically-based techniques and geometric-based techniques. Then we take a second look on the geometric-based techniques and further categorize them in detail. In the following section, the state-of-the-art methods involved in the geometric technique are elaborated.